2 citations · 4 across the 4 of their papers we have counts for
5 papers
How AI Aggregation Affects Knowledge
Daron Acemoglu, Tianyi Lin, Asuman Ozdaglar +1
Artificial intelligence (AI) changes social learning when aggregated outputs become training data for future predictions. To study this, we extend the DeGroot model by introducing…
Wikipedia Contributions in the Wake of ChatGPT
Liang Lyu, James Siderius, Hannah Li +3
How has Wikipedia activity changed for articles with content similar to ChatGPT following its introduction? We estimate the impact using differences-in-differences models, with dis…
MisinfoEval: Generative AI in the Era of "Alternative Facts"
Saadia Gabriel, Liang Lyu, James Siderius +3
The spread of misinformation on social media platforms threatens democratic processes, contributes to massive economic losses, and endangers public health. Many efforts to address…
Online Algorithms with Limited Data Retention
Nicole Immorlica, Brendan Lucier, Markus Mobius +1
We introduce a model of online algorithms subject to strict constraints on data retention. An online learning algorithm encounters a stream of data points, one per round, generated…
Matching of Users and Creators in Two-Sided Markets with Departures
Daniel Huttenlocher, Hannah Li, Liang Lyu +2
Many online platforms of today, including social media sites, are two-sided markets bridging content creators and users. Most of the existing literature on platform recommendation…